ArcadeDB 26.1.1 Release Notes We're excited to announce ArcadeDB 26.1.1, a significant release that brings 92 closed issues and introduces major new capabilities to the platform. This release marks...

Drasi’s first year brings GQL support and community growth, empowering developers to build event-driven apps. Learn more.

Learn how to run openCypher graph queries natively inside PostgreSQL using Apache AGE. Query your Iceberg data lakes efficiently with zero data movement.

@ -0,0 +1,189 @@ ArcadeDB 26.2.1 Release Notes We're excited to announce ArcadeDB 26.2.1, a massive release that brings 484 commits and 200+ closed issues with significant advancements across the p...

Amazon Neptune now supports read-only CALL subqueries and custom openCypher functions like textIndexOf, collToSet, and sorting functions to enhance graph query capabilities and flexibility.

Overview of Neptune compliance with openCypher graph query language specification.

Today, we are excited to announce the launch of a new feature in Graph Explorer that enables users to write and execute native Gremlin and openCypher queries directly within the interface. This enhancement empowers data scientists, developers, and database administrators to seamlessly interact with their graph databases using their preferred query language, eliminating the need for additional tools or interfaces. With this update, users can now leverage the full expressive power of both Gremlin and openCypher to traverse complex relationships, perform advanced pattern matching, and extract valuable insights from their graph data while enjoying the intuitive visual environment of Graph Explorer. To get started, create a new Notebook from the Amazon Neptune console, and start the Graph Explorer from the Notebook actions menu. You can also contribute to the graph-explorer GitHub project https://github.com/aws/graph-explorer. For more information on how graph-explorer works with Amazon Neptune, see the https://docs.aws.amazon.com/neptune/latest/userguide/notebooks-graph-explorer.html.  

Today, we are excited to announce the launch of a new feature in Graph Explorer that enables users to write and execute native Gremlin and openCypher queries directly within the interface. This enhancement empowers data scientists, developers, and database administrators to seamlessly interact with their graph databases using their preferred query language, eliminating the need for additional tools or interfaces. With this update, users can now leverage the full expressive power of both Gremlin and openCypher to traverse complex relationships, perform advanced pattern matching, and extract valuable insights from their graph data while enjoying the intuitive visual environment of Graph Explorer. To get started, create a new Notebook from the Amazon Neptune console, and start the Graph Explorer from the Notebook actions menu. You can also contribute to the graph-explorer GitHub project here. For more information on how graph-explorer works with Amazon Neptune, see the Amazon Neptune User Guide.

Amazon Neptune Database is now available in the Europe (Zurich) Region on engine versions 1.4.5.0 and later. You can now create Neptune clusters using R5, R5d, R6g, R6i, X2iedn, T4g, and T3 instance types in the AWS Europe (Zurich) Region. Amazon Neptune Database is a fast, reliable, and fully managed graph database as a service that makes it easy to build and run applications work with highly connected datasets. You can build applications using Apache TinkerPop Gremlin or openCypher on the Property Graph model, or using the SPARQL query language on W3C Resource Description Framework (RDF). Neptune also offers enterprise features such as high availability, automated backups, and network isolation to help customers quickly deploy applications to production. To get started, you can create a new Neptune cluster using the AWS Management Console, AWS CLI, or a quickstart AWS CloudFormation template. For more information on pricing and region availability, refer to the Neptune pricing page and AWS Region Table.